Populate README with problem description, features, tech stack, development/deployment instructions, project structure, and solver explanation. Add CHANGELOG.md marking current state as v1.0.0.
37 lines
2.7 KiB
Markdown
37 lines
2.7 KiB
Markdown
# Changelog
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## v1.0.0 — 2026-02-28
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Initial release of the EMBA Specialization Solver.
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### Features
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- **Optimization engine** — LP-based credit allocation solver with two modes:
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- **Maximize Count** — finds the largest feasible set of specializations, using ranking as tiebreaker
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- **Priority Order** — greedily adds specializations in user-ranked order
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- **Course selection UI** — select one course per elective set across 12 sets (Spring, Summer, Fall terms)
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- **Drag-and-drop specialization ranking** — reorder the 14 specializations by priority with touch and keyboard support
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- **Decision tree analysis** — Web Worker enumerates remaining course combinations to compute ceiling outcomes per choice
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- **Status tracking** — each specialization classified as achieved, achievable, missing required course, or unreachable
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- **Mode comparison** — displays what the alternative optimization mode would produce
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- **Credit bars and allocation breakdowns** — visual progress toward the 9-credit threshold with expandable per-course detail
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- **Credit legend** — collapsible explainer for bars, badges, and limits
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- **Required course labels** — courses that are prerequisites for a specialization show "Required for ..." labels
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- **Algorithm explanations** — clear descriptions of how each optimization mode works
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- **Skeleton loading** — placeholder UI while decision tree analysis runs
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- **Auto-expand achieved specializations** — achieved specs show their credit breakdown by default
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- **Responsive layout** — two-panel grid on desktop/tablet, single-column on mobile
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- **Mobile floating banners** — top banner summarizes specialization statuses, bottom banner shows selection progress (N/12); both appear via IntersectionObserver and scroll to their sections on tap
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- **CSS transitions and animations** — cross-fade course pin/unpin, credit bar width changes, status badge color transitions, expand/collapse panels, mode toggle switching, flash on status changes; all respect `prefers-reduced-motion`
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- **State persistence** — rankings and selections saved to localStorage
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- **Docker deployment** — multi-stage Dockerfile (Node 22 build → Nginx Alpine serve) with Docker Compose, gzip compression, SPA fallback routing, immutable cache headers for hashed assets, configurable port (default 8080)
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- **Full test suite** — data integrity, feasibility solver, optimizer, and decision tree tests via Vitest
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### Constraints Modeled
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- Credit non-duplication (2.5 credits per course shared across specializations)
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- Maximum 3 specializations (30 total credits, 9 required each)
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- Required course prerequisites for 4 specializations
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- Strategy S1/S2 tier system (at most 1 S2 course contributes to Strategy)
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- Mutual exclusion from same-set conflicts
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